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AI Resume Detector

Salman Ahmed, AI Specialist based in Dubai.

Last updated 6 Oct 2026

Pasted text is sent to the server to produce this result. It is not saved as an account and it is not used to train a model. Leave passport numbers, Emirates ID, and bank details out. Privacy policy.

Paste a resume or CV. The check flags stacked adjectives, empty leadership verbs, and a summary that could fit any job. That label is a writing pattern, not proof of who wrote the file.

What is an AI resume detector?

A check that flags resume lines with the same habits as a generic draft. It looks at wording. It does not look up an account, a prompt history, or a watermark.

Can an AI detector for resumes prove I used ChatGPT?

No. A high label means the wording looks like a template. A low label is not a clearance. No public detector is reliable enough to prove who typed the file.

How do I check a CV for AI-style lines?

Paste the CV in the box above and read the flagged lines. Keep the fact, cut the stacked adjectives, and do not add a percentage to make the line look earned.

What does a high AI-likeness label mean?

Low, Medium, or High describes how template-like the wording is. It is not an employer score, and it is not a decision to reject the file.

Will a flagged line get the resume rejected?

Not by this page. A recruiter still decides whether the facts are specific. A true line can sound generic, and a clean line can still be too thin to defend.

Do you keep the CV?

The text is sent so the check can run. It is not saved as an account and it is not used to train a model. Leave passport numbers and ID numbers out.

What does an AI detector for resumes actually check?

Paste a CV and this page lists lines that read like a generic draft: stacked adjectives, leadership verbs with no object, and a summary that could fit any job. The list comes from the same resume check as the homepage. It looks at writing patterns. It does not look up an account, a prompt history, or a watermark.

I did not invent a detector score. The label you see is Low, Medium, or High, and it only describes how template-like the wording is. A high label is not proof you used ChatGPT. A low label is not proof you wrote every word yourself. No public detector is reliable enough to prove authorship, and this one does not pretend to be.

Which lines tend to get flagged?

A summary that opens with results-driven, passionate, or a proven track record, then never names the job. Bullets that all start with spearheaded, leveraged, or orchestrated and never name a tool, a team, or a constraint. Transitions such as Furthermore and Additionally between lines that should stand alone. Phrases that sound like a number without being one: significant impact, measurable results, a substantial improvement.

Those habits show up in human writing too. A person can copy a template. A model can write a plain line if you give it your real notes. The flag is a reason to reread the line, not a verdict.

What should you do with a flagged line?

Keep the fact. Cut the costume. If the line says you led a migration, write the system and what broke. If you cannot name either, the line is too thin to keep, whether a model wrote it or you did. Do not add a percentage to make the line look earned. The humanizer rewrites only the weak lines and is told not to invent metrics, dates, titles, or employers.

A flagged line can still be true. The test is whether you can say what broke, who used it, and which tool you opened. If you can, keep the fact and cut the adjectives. If you cannot, the line does not belong, and deleting it is cleaner than decorating it.

If the whole page sounds like one voice, use the guide on making a resume not sound like AI. It has before-and-after lines and a short checklist. The AI resume hub collects the longer notes. If a job ad is the problem, the ATS hub is the other door. This detector does not score you against a posting.

Why is a detector a bad way to prove ChatGPT use?

Hiring teams sometimes want a yes or no. The tools sold for that job disagree with each other, and they flag careful human writing as often as they miss a edited model draft. A recruiter who can ask one question about a bullet learns more than a percentage. Greenhouse's November 2025 report measured deceptive use, such as hidden prompt text, and it did not publish a rejection rate for resumes that merely sound polished. Those are different problems. The post on whether companies reject AI-generated resumes keeps the survey figures separate.

What will this page refuse to claim?

It will not say you passed or failed an employer screen. It will not promise the rewrite will be invisible to another detector. The humanizer is not a bypass, and neither is this page. It will not store the paste as an account. Leave passport numbers and ID numbers out of the box. If you want the plainer replacement for each robotic phrase, use the ChatGPT resume fix. If you want prompts that keep your facts while you edit in ChatGPT, use the update guide and then come back here.